We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...

As I wrote in March of this year, the Databricks service is an excellent product for data scientists. It has a full assortment of ingestion, feature selection, model building, and evaluation functions ...

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and ...

Finding insight in oceans of data is one of enterprises’ most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

This article was originally published on ETFTrends.com. Watch a complimentary webinar below to learn more about Apache Spark’s MLlib, which makes machine learning scalable and easier with ML pipelines ...

One of the most popular big data processing platforms, Spark, now supports one of the premier statistical programming languages, R, which could pave the way for easier big data statistical analysis.

Xiangrui Meng of Databricks, a committer on Apache Spark, talks about how to make machine learning easy and scalable with Spark MLlib. Xiangrui has been actively involved in the development of Spark ...

SAN FRANCISCO & AMSTERDAM--(BUSINESS WIRE)--Databricks, the leader in Unified Analytics and founded by the original creators of Apache Spark™, today announced that Spark + AI Summit returns to ...